Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.14644.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:46:46.159536Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T17:24:57.269770Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 15023179-5139-48d3-a2d3-5aa25b6eb74e · inbound
ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation
Reference 2024
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8c9e261-7ba9-4bea-b90d-633a111dbb4a · inbound
Search-Time Data Contamination Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f341e5ea-9ab1-48ca-939a-c465c6017100 · inbound
Graph-Based Alternatives to LLMs for Human Simulation Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8ceb0e55-b887-4c04-9af0-e4c5f0325ade · inbound
Pretraining Data Exposure in Large Language Models: A Survey of Membership Inference, Data Contamination, and Security Implications Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.